ГерманияSenior Data Engineer, Growth Data Engineering
2 нед. назад
ГерманияSenior
data engineeringetlsqlpythonairflowbigquery
Build trusted data foundations and self-serve capabilities to support customer growth and decision-making across acquisition, conversion, engagement, and retention.
Обязанности
- Own the data end-to-end: Deliver reliable, high-quality data solutions that enable growth decision-making across acquisition, conversion, engagement, and retention.
- Be a trusted thought partner: Work closely with Marketing, Analytics and Engineering to translate business needs into delivered outcomes and drive adoption of trusted, self-serve data capabilities.
- Drive technical excellence in the stack: Lead system design for new capabilities and continuously evolve what's already in production — architecture, testing, observability, performance, and cost efficiency — with a bias toward simplicity, reusability, and maintainability .
- Strong operational mindset: Maintain a sustainable balance between operational responsibilities and building new solutions, using team SLOs as an input to prioritize improvements.
- Level up the team and shape how we build: Raise the engineering bar through strong code reviews, design input, and hands-on support, and influence standards and technology choices with a focus on simplicity, reusability, and maintainability.
Как откликнуться
- Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘ how we hire ’ and ‘ life at ’. If you have any further questions, please don’t hesitate to get in touch at jobs@.com .
Другое
- Join the journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.
- Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to .careers to take the first step.
- Within Growth Data Engineering - part of the strategic Flywheel Data Engineering group - our mission is to build the trusted data foundations and self-serve capabilities for the customer growth side of our marketplace . We ingest, integrate, and structure critical internal and external datasets into reliable tables, metrics, and data products that help acquire and retain our customers . We achieve this through close partnership with Growth Analytics and Marketing teams , enabling teams to move faster with confidence.
- Experience: 5+ years in a relevant data role. You've built and owned a data domain end-to-end — from source integration through to the models and metrics that downstream teams depend on
- Communication: Excellent written and verbal communication skills in English, able to explain technical concepts clearly to technical and non-technical audiences.
- Data engineering depth: Expertise in SQL & Python , building robust data pipelines and data models, and operating data at scale in warehouses/lakes (e.g., Delta , Snowflake , PostgreSQL/MySQL ) with strong focus on data quality, accuracy, and reliability . Strong dbt proficiency and familiarity with Spark .
- Reporting & insights: Solid understanding of data visualization and enablement through tools like Looker/Tableau and notebooks (e.g., Jupyter ).
- Business and stakeholder focus: Able to prioritize effectively, manage stakeholders, and translate business needs into clear technical plans and delivered outcomes.
- Autonomy & ownership: Proactive, customer-oriented, and comfortable owning projects end-to-end, balancing system health (monitoring, performance, cost) with new delivery.
- Team impact: Collaborative and mentoring-minded, enjoys sharing knowledge, raising standards through reviews, and helping the team succeed.
- AI-first mindset: Uses modern AI tools to boost productivity and accelerate solving business needs - while maintaining strong standards for quality, security, and governance
- Growth-domain impact: You’ve delivered data products in growth and marketing adjacent domains (e.g., Retention, Channel Attribution, Brand, CRM) and thrive in complex, multi-stakeholder environments (Marketing, PMs, Analytics, Engineering).
- Software engineering craft: You are comfortable with Java/Scala , and you value clean code, solid testing habits, and pragmatic automation.
- AI & data intelligence impact : You've delivered AI capabilities — from LLM-powered discovery to automated insight generation, - including natural-language data access and semantic layer solution — that raises how quickly teams get to answers, and you can tell a durable use case from a demo.
- Annual personal growth budget and mentorship programs for continuous learning and development
- Work from anywhere in the world for 30 days per year
- A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
- Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
- Monthly transportation and fitness budget
- Discounts for you, your friends, and family on activities
- Language reimbursement program
- Health and wellness benefits
- And more…
- Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.
- #LI-Hybrid